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Genetic algorithm for optimization of L-shaped PIFA antennas

Published online by Cambridge University Press:  30 November 2011

Trong Duc Nguyen ,
Yvan Duroc ,
Van Yem Vu  and
Tan Phu Vuong
Trong Duc Nguyen*
Affiliation:
Laboratory IMEP-LAHC, Grenoble INP, 3 Parvis Louis Neél BP 257.38016, Grenoble, Cedex 1, France.
Yvan Duroc
Affiliation:
Laboratory LCIS, Grenoble INP, 50 Barthélémy de Laffemas BP 54 26902, Valence, Cedex 9, France.
Van Yem Vu
Affiliation:
School of Electronics and Telecommunications, Hanoi University of Science and Technology, 1 Dai Co Viet Road, Hanoi, Vietnam.
Tan Phu Vuong
Affiliation:
Laboratory IMEP-LAHC, Grenoble INP, 3 Parvis Louis Neél BP 257.38016, Grenoble, Cedex 1, France.
*
Corresponding author: T. D. Nguyen Email: Trong-Duc.Nguyen@minatec.inpg.fr
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Abstract

Two new designs of the L-shaped Planar Inverted–F Antenna (PIFA) antennas with single and dual polarization operating at the frequency band for IEEE 802.11b/g standard with satisfactory radiation characteristics are presented. We further propose a genetic algorithm (GA) embedded in CST Microwave Studio for optimizing these antenna parameters. The agreement of simulation and measurement results shows the performance of our joint model. Also, they show that our dual-polarization antenna is suitable for indoor Multiple Input Multiple Output (MIMO) wireless environment applications.

Keywords

Genetic algorithmOptimizationL-shape PIFA antennaPopulation
Type
Research Papers
Information
International Journal of Microwave and Wireless Technologies , Volume 3 , Issue 6 , December 2011 , pp. 691 - 699
Copyright
Copyright © Cambridge University Press and the European Microwave Association 2011

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References

REFERENCES

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